RISK STRATIFICATION ALGORITHM USING REAL-WORLD DATA FROM PATIENTS WITH RELAPSED AND/ OR REFRACTORY MULTIPLE MYELOMA: DESCRIPTION OF CLINICAL OUTCOME BY TREATMENT REGIMEN

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17110%2F17%3AA20020T6" target="_blank" >RIV/61988987:17110/17:A20020T6 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
RISK STRATIFICATION ALGORITHM USING REAL-WORLD DATA FROM PATIENTS WITH RELAPSED AND/ OR REFRACTORY MULTIPLE MYELOMA: DESCRIPTION OF CLINICAL OUTCOME BY TREATMENT REGIMEN
Original language description
Estimation of survival for patients with RRMM, requires prognostic tools that define the relative risk of death after first relapse. We recently developed a risk stratification algorithm (RSA) using real-world data from the Czech Registry of Monoclonal Gammopathies (RMG). Our RSA uses patient and disease characteristics at diagnosis and at initiation of second-line treatment (2L), and previous treatment outcomes to stratify patients based on their overall survival (OS) expectations from initiation of 2L treatment (Hajek et al. Blood 2016). The value of such an algorithm depends on its validation, but also on understanding the evidence that explains these differences in survival expectations.
Czech name
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Czech description
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Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
HAEMATOLOGICA
ISBN
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ISSN
0390-6078
e-ISSN
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Number of pages
1
Pages from-to
782-782
Publisher name
FERRATA STORTI FOUNDATION, VIA GIUSEPPE BELLI 4, 27100 PAVIA, ITALY
Place of publication
PAVIA, ITALY
Event location
Španělsko
Event date
Jan 1, 2017
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000404127006062

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